Research on role modeling and behavior control of virtual reality animation interactive system in Internet of Things

Gan, Baiqiang; Zhang, Chi; Chen, Yunqiang; Chen, Yeh-Cheng

doi:10.1007/s11554-020-01046-y

Cited by 24 publications

(16 citation statements)

References 70 publications

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“…To preserve the endpoint property, the B-spline curve is generally made to interpolate at both control vertices, which implies that the number of node weights at both ends of the node vector is k+1. In addition, the internal nodes of the node vector can be shown by where the value of k is shown by equation (5). is method uses the average (AVG) technique when k � n and the node placement (KTP) method when k > n. is method is very sensitive to discrete points carrying dispersion when k and n are close, and some scholars combine the energy term with least squares to improve the stability of the reconstruction curve by fitting the algorithm.…”

Section: Discrete Data Modeling Design For English Languagementioning

confidence: 99%

“…e method of constructing curves using the nature of flow lines has attracted the attention of scholars at home and abroad, and the problem of constructing curves using the flowline method and planning for tool paths of machining has been studied [4]. e interactive learning method based on mobile APP provides learners with learning scaffolding better and faster, assisting them to master the methods and thinking habits of autonomous learning faster, attracting their attention and increasing their interest in learning [5].…”

Section: Introductionmentioning

confidence: 99%

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Intelligent Interactive English Teaching Discrete Data Modeling and Simulation

Xin

2022

Scientific Programming

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This study attempts to explore the discrete data modeling and simulation of smart interactive English teaching based on mobile APP, expecting to explore the effective teaching strategies for deep integration of mobile APP technology and smart interactive English teaching, and to conduct discrete data modeling and simulation of English teaching. In this study, we propose a discrete data modeling algorithm for smart interactive English teaching based on discrete data points and normal vectors using B splines. By adding normal vector constraints, this method can maintain good fitting results even when the data points are discrete. The method consists of four parts, namely, discrete point parameterization, B-spline dominant point selection, node vector determination, and least-squares fitting, including both data point error and normal vector error. The mobile APP-based initial intelligent interactive English teaching should adhere to the four principles of autonomy of English course learning, adhere to teacher dominance in the language classroom, grasp the humanistic nature of English course content, and focus on the practical nature of English course implementation. The interactive learning environment based on mobile APP can promote students’ in-depth understanding of knowledge. The higher the student’s interest in learning, the deeper the degree of understanding; the more diverse the learning methods, the more it can promote students’ in-depth understanding of knowledge; the stronger the degree of interaction, the higher the level of understanding. The discrete data modeling of smart interactive English teaching proposed in this study provides a theoretical reference for the design and production of interactive learning resources for English courses, according to which the interactive learning resources for English courses are produced to make up for the lack of English course resources.

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Section: Discrete Data Modeling Design For English Languagementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Intelligent Interactive English Teaching Discrete Data Modeling and Simulation

Xin

2022

Scientific Programming

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show abstract

“…In the ERP projection format, images of different dimensions have different stretching degrees, erefore, the closer CTU is to the poles, the smaller the η become and the smaller the reference to the upper pixels. e larger 1-η's value is, the greater the reference to the left pixel [15][16][17][18].…”

Section: Ctu Complexity Descriptionmentioning

confidence: 99%

Virtual Reality Software and Data Processing Algorithms Packaged Online for Videos

Zeng¹,

Guo²

2022

Mobile Information Systems

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Aiming at the problem of virtual reality and data processing algorithm of online video packaging, one transmission scheme uses TILES in HEVC to block the video and then applies MP4Box to pack the video and generate a DASH video stream. A method is proposed to process the same panoramic video with different quality. By designing a new index to measure the complexity of the coding tree unit, this method predicts the depth of the coding tree unit by using the complexity index and spatial correlation of the video, skipping unnecessary traversal range, and realizing fast division of coding units. Experimental results show that compared with the latest HM16.20 reference model, the proposed algorithm can reduce the coding time by 37.25%, the BD-rate only increases by 0.74%, and the video image quality is almost not lost.

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“…Virtual reality (VR) technology is making continuous progress with the continuous development of science and technology, providing a new production method for animation creation [1]. e change of the new VR animation' production mode leads to the corresponding change of the final work experience mode [2]. Among them, the most prominent is the audience's participation in the works, and the plot development of the works is closely related to the interaction of the audience.…”

Section: Introductionmentioning

confidence: 99%

The Path of Film and Television Animation Creation Using Virtual Reality Technology under the Artificial Intelligence

Liu

Pan²

2022

Scientific Programming

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The purpose is to provide a more reliable human-computer interaction (HCI) guarantee for animation works under virtual reality (VR) technology. Inspired by artificial intelligence (AI) technology and based on the convolutional neural network—support vector machine (CNN-SVM), the differences between animation works under VR technology and traditional animation works are analyzed through a comprehensive analysis of VR technology. The CNN-SVM gesture recognition algorithm using the error correction strategy is designed based on HCI recognition. To have better recognition performance, the advantages of depth image and color image are combined, and the collected information is preprocessed including the relations between the times of image training iterations and the accuracy of different methods in the direction of the test set. After experiments, the maximum accuracy of the preprocessed image can reach 0.86 showing the necessity of image preprocessing. The recognition accuracy of the optimized CNN-SVM is compared with other algorithm models. Experiments show that the accuracy of the optimized CNN-SVM has an upward trend compared with the previous CNN-SVM, and the accuracy reaches 0.97. It proves that the designed algorithm can provide good technical support for VR animation, so that VR animation works can interact well with the audience. It is of great significance for the development of VR animation and the improvement of people’s artistic life quality.

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Research on role modeling and behavior control of virtual reality animation interactive system in Internet of Things

Cited by 24 publications

References 70 publications

Intelligent Interactive English Teaching Discrete Data Modeling and Simulation

Intelligent Interactive English Teaching Discrete Data Modeling and Simulation

Virtual Reality Software and Data Processing Algorithms Packaged Online for Videos

The Path of Film and Television Animation Creation Using Virtual Reality Technology under the Artificial Intelligence

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